scholarly journals Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Hu ◽  
Junwu Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Assessment Model ◽  
Economic Losses ◽  
Risk Level ◽  
Deep Drainage ◽  
Safety Risk ◽  
Drainage Tunnel ◽  
Weight Method

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

scholarly journals HSE Risk Assessment of Major Sewage Transport Tunnel Projects at the Construction Stage Based on the StructuralEntropy Weight Method and the Cloud Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Han Wu ◽  
Sen Liu ◽  
Denghui Liu ◽  
Junwu Wang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Cloud Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Indicators ◽  
Risk Level ◽  
Construction Stage ◽  
Correlation Degree ◽  
Weight Method

The health, safety, and environment (HSE) risk assessment of major sewage transport tunnel projects (MSTTPs) is of great significance to guarantee sewage treatment, ecological environment protection, and sustainable development. To accurately evaluate the HSE risk of MSTTPs at the construction stage and effectively deal with their randomness and ambiguity, a risk assessment model based on the structural entropy weight method (SEWM) and the cloud model is put forward in this paper. First, an index system for MSTTPs was constructed via a literature review and expert interviews, and the rough sets method was used to filter the indicators. Then, weights were calculated by the SEWM, which is able to consider both subjective and objective factors of the weight calculation. Finally, to clarify the randomness and ambiguity in the evaluation, the HSE risk level was determined by the cloud similarity. The model was applied to the Donghu Deep Tunnel Project in Wuhan, China, and the results demonstrated that its HSE risk level was medium, which was acceptable. The index related to construction safety had the largest weight. A humid environment, improper power utilization, and sludge and mud pollution were found to be the most influential risk indicators. The risk level could be intuitively and qualitatively judged by the figure evaluation cloud, providing a vivid and rapid evaluation tool for the emergency decision-making of project managers, and the risk level could be quantitatively judged by the calculation of cloud similarity. Moreover, through the comparison with gray correlation degree, set pair analysis, and fuzzy comprehensive evaluation method evaluation results, we prove the scientificity and effectiveness of the proposed model. The research results provide a valuable reference for the project management of MSTTPs at the construction stage.

scholarly journals Research on Safety Risk Assessment Method of Highway Bridge Construction Based on AHP-Fuzzy Comprehensive Evaluation

2021 ◽  
Vol 248 ◽  
pp. 03020
Author(s):  
Zhuang Guofeng
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Highway Bridges ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Risk Level ◽  
Bridge Construction ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Safety Risk ◽  
Comprehensive Evaluation Method

The quality of road and bridge engineering is directly related to the safety of the transportation industry. In the construction of highway bridges, it is particularly important to strictly control the construction quality. Combining the analytic hierarchy process and the fuzzy comprehensive evaluation method, the AHP-fuzzy comprehensive evaluation method is used to obtain the current road bridge construction safety risk level. According to the different risk levels, effective measures should be taken to avoid unsafe accidents. On this basis, historical risk cases can be analyzed to find problems in the safety assessment of highways and bridges, and effective construction safety management and control measures can be put forward to ensure the vigorous development of my country’s highway and bridge industry.

Metro Construction Safety Risk Assessment of Xi'an Based on CIM Model

2014 ◽  
Vol 638-640 ◽  
pp. 804-808
Author(s):  
Bi Xue Zhang ◽  
Feng Hai Ma
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fuzzy Ahp ◽  
Construction Safety ◽  
Assessment System ◽  
Control Measures ◽  
Risk Level ◽  
Safety Risk ◽  
Geological Characteristics ◽  
Subway Construction

According to the geological characteristics of Xi'an, analyze the accidents may occur in metro construction. A metro construction safety risk assessment system should be built on the basis of the cause of the accident. Combined with the data of survey and design of Xi'an No.4 subway construction, using the fuzzy AHP to reach the parameters of risk assessment and build a CIM model. CIM model is applied to the risk assessment of Xi'an No.4 subway construction. The total metro construction safety risk can be gained through analyzing. In addition, risk events that may occur based on specific risk factors to determine the risk level. Lastly, control measures are put forward.

Risk Assessment of Reservoir by Fuzzy Comprehensive Evaluation Method Based on Information Entropy

2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Information Entropy ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Entropy Weight ◽  
Weighting Method

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.

scholarly journals ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH

2020 ◽  
Vol 26 (2) ◽  
pp. 175-188 ◽  
Author(s):  
Saeed Reza Mohandes ◽  
Haleh Sadeghi ◽  
Amir Mahdiyar ◽  
Serdar Durdyev ◽  
Audrius Banaitis ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Real Life ◽  
Limited Range ◽  
Construction Safety ◽  
The Body ◽  
Assessment Model ◽  
Decision Matrix ◽  
Safety Level ◽  
Safety Risk ◽  
Interval Valued

Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

Safety Risk Assessment of Highway Special Maintenance Project Based on BP Neural Network

2011 ◽  
Vol 368-373 ◽  
pp. 3175-3179
Author(s):  
Wei Tian ◽  
Hui Min Li ◽  
Rui Qi Yan ◽  
Yun Xiang Hu
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Bp Neural Network ◽  
Safety Management ◽  
Construction Safety ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Safety Risk ◽  
Assessment Index ◽  
Assessment Index System

16 items of assessment indexes are selected to build up the safety risk assessment index system of special maintenance project according to the construction safety characteristics of highway special maintenance project, based on which, the safety risk assessment model of special maintenance project based on BP neural network is brought forward. The assessment model has been trained, checked and analyzed through example and it turns out that the effective safety risk assessment of highway special maintenance project can be calculated based on this model, which also supplies decision-making basis for the project safety management.

scholarly journals Construction Safety Risk Assessment for Existing Building Renovation Project Based on Entropy-Unascertained Measure Theory

2020 ◽  
Vol 10 (8) ◽  
pp. 2893
Author(s):  
Wenlong Li ◽  
Qin Li ◽  
Yijun Liu ◽  
Huimin Li ◽  
Xingwang Pei
Keyword(s):  
Risk Assessment ◽  
Measure Theory ◽  
Construction Safety ◽  
Risk Identification ◽  
Assessment Model ◽  
Entropy Weight ◽  
Safety Risk ◽  
Existing Building ◽  
Assessment Index ◽  
Entropy Weight Method

With the development of society, there are more and more existing building renovation projects. According to the common construction safety problems, and based on the characteristics of the construction process of renovation project, this paper established a construction safety risk assessment model of renovation project based on entropy-unascertained measure theory. Firstly, the assessment index system was determined by risk identification and analysis. Secondly, the unascertained measure theory was applied to the construction safety risk assessment of renovation project, and the weight of each index was determined by the entropy weight method. Finally, taking the actual renovation projects as examples to calculate its safety risk grade, it is found that the assessment results of the model are basically consistent with the actual situation of the site by comparison. The research shows that the model can provide a new idea to quantitatively assess the construction safety risk of renovation project and provide a reliable basis for the management and control of the construction safety of existing building renovation project.

scholarly journals Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

2021 ◽  
Author(s):  
Xuehai Tang ◽  
Yanping Wu ◽  
Jun Ye ◽  
Haiyan Lv ◽  
Feixia Sun ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Evaluation Method ◽  
Nature Reserve ◽  
Fuzzy Comprehensive Evaluation ◽  
Nature Reserves ◽  
Assessment Model ◽  
Risk Level ◽  
Continuous Increase ◽  
Risk Areas

Abstract With the continuous increase of tourism development and human disturbance, the functional structure distribution, sustainable utilization of resources and ecological benefits of nature reserves have been affected, and its ecological risk has increased significantly. This study proposes ecotourism development patterns for risk areas at each level, to provide a basis for stabilizing and promoting the ecological sustainable development of nature reserves. Yaoluoping National Nature Reserve in China is used as a study example. Based on GF-2 satellite data within the reserve area in 2017, ENVI, Fragstats and ArcGIS10.2 are used for land use classification as well as evaluation indicators selection and analysis. The ecotourism risk assessment model of the reserve is constructed, which is combined with the analytic hierarchy process and the fuzzy comprehensive evaluation method. The model consists of landscape ecology, topographic hydrology, land use and human activities factors, and it can produce the distribution map at the ecotourism risk level of the reserve. Results show that the high ecotourism risk areas in the reserve are mainly located around rivers and roads, and they are distributed in strips. Overall, the ecotourism risk level in the northern part of the reserve is higher than that in the southern part. Nearly 90% of the regional ecotourism risk is at the middle or low level, implying the reserve in a healthy level overall. However, except for low risk areas, the proportion of risk areas at all levels in the core zone is higher than that in the buffer zone.

scholarly journals Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

2020 ◽  
Author(s):  
Sheng-Shan Chen ◽  
Han-Xiang Wang ◽  
Hao Jiang ◽  
Ya-Nan Liu ◽  
Yan-Xin Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Level ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Abstract Casing corrosion during CO2 injection or storage results in significant economic loss and increased production risks. Therefore, in this paper, a corroded casing risk assessment model based on analytic hierarchy process and fuzzy comprehensive evaluation is established to identify potential risks in time. First, the corrosion rate and residual strength characteristics are analyzed through corrosion tests and numerical simulations, respectively, to determine the risk factors that may lead to an accident. Then, an index system for corroded casing risk evaluation is established based on six important factors: temperature, CO2 partial pressure, flow velocity, corrosion radius, corrosion depth and wellhead pressure. Subsequently, the index weights are calculated via the analytic hierarchy process. Finally, the risk level of corroded casing is obtained via the fuzzy comprehensive evaluation. The corroded casing risk assessment model has been verified by a case well, which shows that the model is valuable and feasible. It provides an effective decision-making method for the risk evaluation of corroded casing in CO2 injection well, which is conductive to improve the wellbore operation efficiency.

Research on Safety Assessment of Blasting Construction in Highway Tunnel Project

2014 ◽  
Vol 1065-1069 ◽  
pp. 383-387
Author(s):  
Jian Tian ◽  
Peng Guo ◽  
Zhi Qiang Li
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Level ◽  
Probability Assessment ◽  
Safety Risk ◽  
Highway Tunnel ◽  
Tunnel Blasting ◽  
Risk Probability

The drilling and blasting method is popular for the construction of highway tunnel,which is easy to cause serious production safety accidents.Based on safety risk analysis of tunnel blasting construction,safety risk probability assessment index system of tunnel blasting construction was put forward,which consist of establishment of blasting scheme,belection of blasting equipment,and safety management,etc.Safety risk probability assessment model was constructed based on the fuzzy comprehensive evaluation,which are divided in five level.The risk matrix method was used to assess risk level of blasting construction,considering blasting construction risk probability and the consequence.Through the case on ChenJiagou tunnel in the province of Hebei proves the feasibility of evaluation method,and the corresponding risk control measurements were proposed.

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